Automation and demographic change

Ana Lucia Abeliansky and Klaus Prettner

No 310, University of Göttingen Working Papers in Economics from University of Goettingen, Department of Economics

Abstract: We analyze the effects of declining population growth on automation. A simple theoretical model of capital accumulation predicts that countries with lower population growth introduce automation technologies earlier. We test the theoretical prediction on panel data for 60 countries over the time span 1993-2013. Regression estimates support the theoretical prediction, suggesting that a 1% increase in population growth is associated with an approximately 2% reduction in the growth rate of robot density. Our results are robust to the inclusion of standard control variables, different estimation methods, dynamic specifications, and changes to the measurement of the stock of robots.

Keywords: automation; industrial robots; demographic change; population growth; declining labor force; economic growth (search for similar items in EconPapers)
JEL-codes: J11 O14 O33 O40 (search for similar items in EconPapers)
Date: 2017
New Economics Papers: this item is included in nep-age, nep-gro and nep-lab
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (42)

Downloads: (external link)
https://www.econstor.eu/bitstream/10419/157381/1/885256824.pdf (application/pdf)

Related works:
Working Paper: Automation and Demographic Change (2020)
Working Paper: Automation and demographic change (2017)
Working Paper: Automation and demographic change (2017)
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:zbw:cegedp:310

Access Statistics for this paper

More papers in University of Göttingen Working Papers in Economics from University of Goettingen, Department of Economics Contact information at EDIRC.
Bibliographic data for series maintained by ZBW - Leibniz Information Centre for Economics ().